H<inf>&#x221E;</inf> state estimation for discrete-time systems with fading measurements and randomly varying nonlinearities

Abstract

In this paper, the H<sub>&#x221E;</sub> state estimation problem is investigated for a class of stochastic systems with the simultaneous presence of fading measurements and randomly varying nonlinearities (RVNs). A sequence of random variables obeying the Bernoulli distribution is utilized to govern RVNs. The Rice fading model, simultaneously, is employed… (More)

Topics

2 Figures and Tables

Cite this paper

@article{Ding2013Hinfx221EinfSE, title={H state estimation for discrete-time systems with fading measurements and randomly varying nonlinearities}, author={Derui Ding and Zidong Wang and Hongli Dong and Bo Shen}, journal={2013 19th International Conference on Automation and Computing}, year={2013}, pages={1-6} }